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models and/or probabilistic modelling, and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are required. Excellent skills in spoken and written English
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independently and as part of a collaborative research team. Preferred: Familiarity with relevant software packages and/or programming languages, such as Bruker TopSpin, Varian VnmrJ, Mestrelab Mnova, and Python
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: “Development of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https
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activity: “Mathematical and computational optimization for the management of complex socio-environmental systems and decision support.” Where to apply Website https://selezionionline.cnr.it Requirements
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to autonomous systems is considered an asset. Proficiency in relevant programming and simulation tools, such as Python, C/C++, MATLAB/Simulink, ROS/ROS 2, Gazebo, AirSim, or equivalent platforms. Experience in
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multilingual studies, and philosophy. For more details, please visit https://www.ntu.edu.sg/soh. We are looking for a full-time Research Assistant with a background in Natural Language Processing (NLP
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | 18 days ago
measurement. - Strong experimental skills and ability to develop, troubleshoot, and validate measurement workflows. - Strong data-analysis skills using Python, MATLAB, R, Origin, or similar tools. - Strong
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Engineering, or a closely related quantitative field is required. Additional qualifications The candidate must have strong programming experience in Python and/or R. The candidate must have experience analyzing
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Website: https://healthpolicy.fsi.stanford.edu/(link is external) How to Submit Application Materials: Please submit the required application materials to Dr. Goldhaber-Fiebert ([email protected](link
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at least one of R, Stata or Python, including publication-quality visualisation. Substantive knowledge of the Chinese political economy and of debates on state capitalism, marketisation and industrial policy